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A Panel Data Analysis of Effects of Economic Vulnerability Index Indicators on Real Effective Exchange Rate in Developing Countries

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  • Kerem Sezerer

    (Anadolu University, Graduate School, Economics, Eskisehir, Türkiye)

  • Burak Arslan

    (Anadolu University, Eskisehir, Türkiye)

Abstract

The volatility of exchange rates is considered to be an important measure of a country's economic vulnerability and has a direct or indirect causal relationship with a large number of macroeconomic variables. The aim of this study is to analyze the macroeconomic variables in the economic vulnerability index that affect the exchange rate for developing countries and the extent to which they affect the exchange rate, and to make policy recommendations. We conducted a panel data analysis using data from 11 developing countries between 2000 and 2022 for this purpose. We performed the analyses using the Augmented Mean Group (AMG) estimator. As a result of the analyses, it is found that there is a negative and statistically significant relationship between the real effective exchange rate and inflation, private sector credit debt/GDP and gross public debt/GDP ratio. In addition, the relationship between Real effective exchange rate and current account deficit/GDP ratio, External debt/GDP ratio and growth rate is positive and statistically insignificant. As a policy recommendation, it can be said that for stable and sustainable economic management in developing countries, the exchange rate level should be less volatile and should be compatible with reliable fiscal and monetary policies.

Suggested Citation

  • Kerem Sezerer & Burak Arslan, 2024. "A Panel Data Analysis of Effects of Economic Vulnerability Index Indicators on Real Effective Exchange Rate in Developing Countries," International Econometric Review (IER), Econometric Research Association, vol. 16(2), pages 89-106, December.
    • Handle: RePEc:erh:journl:v:16:y:2024:i:2:p:89-106
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    References listed on IDEAS

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    1. Naeem Ur Rehman Khattak & Muhammad Tariq & Jangraiz Khan, 2012. "Factors Affecting the Nominal Exchange Rate of Pakistan: An Econometric Investigation (1982-2008)," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(2), pages 421-428.
    2. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    3. Samuel Antwi & Mohammed Issah & Aboagyewaa Patience & Solomon Antwi & David McMillan, 2020. "The effect of macroeconomic variables on exchange rate: Evidence from Ghana," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1821483-182, January.
    4. Muhammad Kamran Khan & Jian-Zhou Teng & Muhammad Imran Khan, 2019. "Cointegration between macroeconomic factors and the exchange rate USD/CNY," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-15, December.
    5. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    6. Anca Elena Nucu, 2011. "The Relationship between Exchange Rate and Key Macroeconomic Indicators. Case Study: Romania," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 14(41), pages 127-145, September.
    7. Kaboro Jane & Mose Naftaly, 2021. "Impact of Macroeconomic Variables on Exchange Rate Uncertain," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 17(3), pages 47-55, September.
    8. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    9. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    10. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    11. Kenneth D. Goldin, 1966. "Economic Growth And The Individual," Journal of Finance, American Finance Association, vol. 21(3), pages 550-551, September.
    12. Naeem Ur Rehman Khattak & Muhammad Tariq & Jangraiz Khan, 2012. "Factors Affecting the Nominal Exchange Rate of Pakistan: An Econometric Investigation (1982-2008)," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(2), pages 421-428, June.
    13. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
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    More about this item

    Keywords

    Augmented Mean Group (AMG) Estimator; Real Effective Exchange Rate; Developing Countries; Panel Data Analysis; Macroeconomic Indicators;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development

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